TY - GEN
T1 - 5GMediaHUB QoS/QoE Monitoring Engine
AU - Siokis, Apostolos
AU - Ramantas, Kostas
AU - Margetis, George
AU - Stamou, Stefania
AU - McCloskey, Ryan
AU - Tolan, Martin
AU - Verikoukis, Christos
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - 5G provides significantly faster data transfer speeds compared to previous generations of wireless networks. However, 5G networks present several challenges to media application developers. To this end, 5GMediaHUB project creates a high-level abstraction layer between media applications and the underlying 5G infrastructure. One of the components within the 5GMediaHUB platform is the Quality of Service/Quality of Experience Monitoring Engine. The QoS/E engine is utilised to perform monitoring of the performance of all of the test attributes (that is the individual components that together comprise the entire application executing at different points/layers within the experimentation framework). This allows for the ease of monitoring as the various monitoring managers are essentially agnostic of the application under test and are purely driven by the associated test configuration data associated with the application. This provides for a testing platform that is easily extended with little to no modification required as new applications are added to the portfolio within the experimentation platform. Moreover, this engine is leveraged for Video quality assessment (VQA) to measure video quality, leveraging on objective methods to essentially predict the Quality of Experience (QOE), i.e., how the video quality will be perceived by end users.
AB - 5G provides significantly faster data transfer speeds compared to previous generations of wireless networks. However, 5G networks present several challenges to media application developers. To this end, 5GMediaHUB project creates a high-level abstraction layer between media applications and the underlying 5G infrastructure. One of the components within the 5GMediaHUB platform is the Quality of Service/Quality of Experience Monitoring Engine. The QoS/E engine is utilised to perform monitoring of the performance of all of the test attributes (that is the individual components that together comprise the entire application executing at different points/layers within the experimentation framework). This allows for the ease of monitoring as the various monitoring managers are essentially agnostic of the application under test and are purely driven by the associated test configuration data associated with the application. This provides for a testing platform that is easily extended with little to no modification required as new applications are added to the portfolio within the experimentation platform. Moreover, this engine is leveraged for Video quality assessment (VQA) to measure video quality, leveraging on objective methods to essentially predict the Quality of Experience (QOE), i.e., how the video quality will be perceived by end users.
KW - 5G
KW - QoE
KW - QoE prediction
KW - QoS
UR - http://www.scopus.com/inward/record.url?scp=85190557995&partnerID=8YFLogxK
U2 - 10.1109/CAMAD59638.2023.10478397
DO - 10.1109/CAMAD59638.2023.10478397
M3 - Conference contribution
AN - SCOPUS:85190557995
SN - 9798350303490
SN - 9798350303490
T3 - IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD
SP - 13
EP - 18
BT - 2023 IEEE 28th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2023 IEEE 28th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD 2023
Y2 - 6 November 2023 through 8 November 2023
ER -